Data Science: Bridging Principles and Practice

Haas School of Business

How long?

  • 10 weeks
  • online

Haas School of Business


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Who should attend

This program is for mid-career managers wanting to upskill, C-suite professionals that make impactful organizational decisions and those at an executive level looking to develop their career in a fast-growing field.

  • Product Managers, Project Managers, Marketing Managers, and others in managerial positions who are integral to the decision-making process and want to get deeper actionable insights for their work.
  • Director, CEO, CTO, CIO, Vice President, Founder, General Managers who are involved with making systematic data-driven decisions and would like to strengthen the application of data-scence in their organizations.
  • Executives who are looking for an introduction to Data Science and who want to gain more experience in data analysis.

About the course

Fear of disruption. It's a common feeling across today's business landscape: fear that a more agile company will swoop in with a pure-play digital business model, leveraging data in ways that compel competitive advantage.

Big data is facilitated by technology, but it’s optimized by people, culture, and processes. Investment in big data and related technologies is at an all-time high, yet according to research by New Vantage Partners, less than half of the companies say they are competing on data and analytics (48 percent); only 31 percent have created a data-driven organization, and only 28 percent have forged a data culture. The challenge in realizing the potential of big data lies not in the technology itself, but rather in transforming people, culture, and processes.

Berkeley’s Data Science: Bridging Principles and Practice gives participants with non-technical backgrounds a foundational understanding of what data science and analytics is all about, and many of the most common techniques used to manipulate and analyze data yourself. At the end of this program, you should be able not only to work effectively with data science and analytics teams by speaking their language, but also help guide them to deliver business value to you and the entire organization.

Prepare for Data Science Literacy

While there are no formal prerequisites such as coding knowledge, having an aptitude for quantitative concepts is important. Review basic mathematical and statistical concepts such as mean, standard deviation, graphs, histograms, and linear and logarithmic functions. To gain true literacy in data science, be prepared to get dirty in the data and embrace some math and stats. We'll fully support you along the way.

Adopt a Data-Driven Mindset

Learn to ask the right questions of the data, common techniques for turning data into business insights, and knowing which method to use to answer specific business questions.

Learn to Communicate and Interpret Data

Gain tools to effectively communicate with data scientists, learn effective methods for data presentation, and interpret data more effectively by understanding the most common techniques.

Create a Data-Driven Culture

Use technology and process to drive a cultural shift where data is leveraged for strategy, decision making, and execution. Learn the capabilities that make successful data science teams.


The Data Science: Bridging Principles and Practice program curriculum covers the following topics:

Topic 1 | Probabilistic Decision Making

Topic 2 | Creating Sample Data

Topic 3 | Testing Hypothesis

Topic 4 | Extrapolating Information from Sample Data

Topic 5 | Basic Regression Models

Topic 6 | Advanced Regression Models

Topic 7 | Forecasting Machine Learning

Topic 8 | Building Effective Data Science Teams


  • World-renowned Berkeley Haas and Executive Education Faculty
  • Video lectures from Berkeley Haas faculty
  • Live, interactive webinars (also available as recordings)
  • Peer discussions and exercises
  • Case Studies
  • Exclusive online network-building opportunities
  • Access to the program alumni community
  • Data Science: Bridging Principles and Practice Certificate of Completion


Shachar Kariv

Education Ph.D., Economics, New York University M.A., Economics, New York University B.A., Economics, Tel Aviv University Positions Held At Haas since 2009 2009 – present, Lecturer, Haas School of Business 2014 – present, Department Chair, UC Berkeley, Department of Economics 2014 – ...

Steve Tadelis

Steve Tadelis is the James J. and Marianne B. Lowrey Chair in Business and a Professor of Economics, Business and Public Policy at Haas School of Business, University of California, Berkeley. Steve was the Joe Shoong Chair in International Business (2015-2016) and the Associate Dean for Strategic...

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Data Science: Bridging Principles and Practice at Haas School of Business

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Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

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